MAK YING KIT
FYP:Pedestrian detection and tracking system
Implemented in C++, with OpenCV Trained a SVM model by HOG features data Track pedestrian by Kalman filter
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Build from scratch, written majorly in Kotlin with java. Implemented in a MVP architecture to separate concerns & facilitate testing. Make use of libraries like Room, Rxjava, Retrofit to make it more reactive Include functions: - Show floor-plan with markdown defects - Assign defects, edit defects & fix defects.
Implemented in C++, with OpenCV Trained a SVM model by HOG features data Track pedestrian by Kalman filter